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Quant researcher
Qube research
Qube research's logo

Quant researcher

at Qube research

2 - 10 yrs
₹40L - ₹70L / yr
Mumbai
Skills
Equity
Derivatives
Equity derivatives

Your future role within QRT

  • Your core objective is to create high quality predictive signals.
  • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
  • Share and discuss research results, methodology, data sets and processes with other researchers.
  • Implement the signals and relevant datasets within the global execution platform.
  • Monitor signal behaviour and model performance over time.

 

Your present skillset

  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
  • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
  • Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
  • Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.

 


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Total Experience:
Relevant Experience:

Current CTC:
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Any offers: Y/N

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Domain

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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